P1.11
A winter weather index to estimate maintenance costs in the Midwest
Bradley Temeyer, Iowa State University, Ames, IA; and W. A. Gallus, E. S. Takle, D. Burkheimer, and D. McCauley
A winter weather index has been developed that uses standard meteorological parameters easily available from climate data and storm reports to estimate winter road maintenance costs. The parameter was developed using meteorological data from across the state of Iowa, and should work well in the Midwest region. The weather data were compared with 4-week budget periods and yearly total costs from five years of data provided by the Iowa Department of Transportation.
In the development of the winter weather index, weighting based on daily accumulation of snowfall, and the occurrence of freezing rain was found to best correlate with maintenance costs. Early and late season snow and ice events were found to contribute less to the maintenance costs, probably a consequence of warmer surface and subsurface temperatures at that time, so that an adjustment based on date is used in the index. Mean winter temperatures, and winds were not found to significantly correlate with winter maintenance costs.
The index can be used to determine the relative severity of winters, or months within a given winter, and may be used to evaluate the performance of individual garages. At the present time, work is ongoing to compare a neural network-derived index with the one already developed. These results will also be presented at the conference.
Poster Session 1, IIPS Poster Session: Formal Viewing
Tuesday, 16 January 2001, 5:30 PM-7:30 PM
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